Browsing CBMM Memo Series by Author "Gershman, Samuel J."

Now showing items 1-3 of 3

    • Building machines that learn and think like people 

      Lake, Brenden M.; Ullman, Tomer D.; Tenenbaum, Joshua B.; Gershman, Samuel J. (Center for Brains, Minds and Machines (CBMM), arXiv, 2016-04-01)
      Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object ...

    • Probing the compositionality of intuitive functions 

      Schulz, Eric; Tenenbaum, Joshua B.; Duvenaud, David; Speekenbrink, Maarten; Gershman, Samuel J. (Center for Brains, Minds and Machines (CBMM), 2016-05-26)
      How do people learn about complex functional structure? Taking inspiration from other areas of cognitive science, we propose that this is accomplished by harnessing compositionality: complex structure is decomposed into ...

    • Where do hypotheses come from? 

      Dasgupta, Ishita; Schulz, Eric; Gershman, Samuel J. (Center for Brains, Minds and Machines (CBMM), 2016-10-24)
      Why are human inferences sometimes remarkably close to the Bayesian ideal and other times systematically biased? One notable instance of this discrepancy is that tasks where the candidate hypotheses are explicitly available ...